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Record W177373747 · doi:10.1177/070674370304801008

Risk of Weight Gain Associated with Antipsychotic Treatment: Results from the Canadian National Outcomes Measurement Study in Schizophrenia

2003· article· en· W177373747 on OpenAlexaffvenueabout
Roger S. McIntyre, K Trakas, Daryl Lin, Robert Balshaw, Pieway Hwang, Kimberly A. Robinson, Andrew Eggleston

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2003
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsQuetiapineWeight gainSchizoaffective disorderMedicineAntipsychoticPsychiatryRisperidoneWeight changePaliperidoneProspective cohort studyPsychologyOlanzapineSchizophrenia (object-oriented programming)PsychosisInternal medicineWeight lossObesity

Abstract

fetched live from OpenAlex

BACKGROUND: Antipsychotic-induced weight gain occurs in a substantial percentage of treated persons. There remains a paucity of naturalistic data that describe relative weight-gain liability with the available novel atypical antipsychotics (NAPs). This investigation describes comparative NAP-induced weight gain in a prospective naturalistic cohort of persons with schizophrenia and related psychotic disorders. METHODS: The Canadian National Outcomes Measurement Study in Schizophrenia (CNOMSS) is an ongoing prospective, longitudinal, naturalistic study involving 32 academic and community sites across Canada. Persons with DSM-IV-defined schizophrenia, schizophreniform or schizoaffective disorder, and psychosis not otherwise specified were consecutively enrolled. The overarching objectives of this initiative were to collect and compare global effectiveness, tolerability, safety, and humanistic outcomes in persons receiving commercially available NAPs in Canada. This analysis reports only weight change with the respective NAPs. Other outcomes were reported in separate companion papers. RESULTS: A spectrum of weight-gain liability was noted with quetiapine (QUE) (mean 7.55 kg, SD 9.20; P = 0.28), olanzapine (OLZ) (mean 3.72 kg, SD 0.56; P = 0.15), and risperidone (RIS) (mean 1.62 kg, SD 7.72; P = 0.43). Categorically defined weight gain (that is, over 7% of baseline weight) was observed in 55.6% of QUE patients, 24.1% of OLZ patients, and 23.7% of RIS patients. Adjusting for demographic and disease-specific confounding factors, QUE patients had greater odds of gaining over 7% of their baseline weight compared with RIS patients (odds ratio [OR] 3.62; 95% CI, 1.02 to 12.83; P = 0.05). No statistical difference was detected between OLZ patients and RIS patients for over 7% of baseline weight (OR 1.54; 95% CI, 0.63 to 3.75; P = 0.12) or over 10% weight gain (OR 1.44; 95% CI, 0.50 to 4.13; P = 0.58). CONCLUSION: Clinicians are reminded to monitor anthropometric and metabolic parameters in all NAP-treated persons. Clinically significant differences in weight gain liability exist among the available NAPs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.279
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations58
Published2003
Admission routes3
Has abstractyes

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